IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v111y2011i1p43-46.html
   My bibliography  Save this article

Valuing improved hurricane forecasts

Author

Listed:
  • Lazo, Jeffrey K.
  • Waldman, Donald M.

Abstract

The value to households of improved hurricane forecasts is estimated from a pilot survey using discrete choice econometric methods. Each household is willing to pay approximately $13 for improvements in forecast attributes such as landfall time and position, wind speed, and storm surge.

Suggested Citation

  • Lazo, Jeffrey K. & Waldman, Donald M., 2011. "Valuing improved hurricane forecasts," Economics Letters, Elsevier, vol. 111(1), pages 43-46, April.
    • Handle: RePEc:eee:ecolet:v:111:y:2011:i:1:p:43-46
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(10)00444-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Scott J. Savage & Donald M. Waldman, 2008. "Learning and fatigue during choice experiments: a comparison of online and mail survey modes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 351-371.
    2. Waldman, Donald M., 1985. "Computation in duration models with heterogeneity," Journal of Econometrics, Elsevier, vol. 28(1), pages 127-134, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexandra Brausmann & Moritz Flubacher & Filippo Lechthaler, 2019. "Valuing meteorological services in resource-constrained settings: Application to smallholder farmers in the Peruvian Altiplano," CER-ETH Economics working paper series 19/324, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    2. Lechthaler, Filippo & Vinogradova, Alexandra, 2017. "The climate challenge for agriculture and the value of climate services: Application to coffee-farming in Peru," European Economic Review, Elsevier, vol. 94(C), pages 45-70.
    3. Edward Helderop & Tony H. Grubesic, 2022. "Hurricane storm surge: toward a normalized damage index for coastal regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 1179-1197, January.
    4. Nguyen, Thanh Cong & Le, Hoa Thu & Nguyen, Hang Dieu & Ngo, Mai Thanh & Nguyen, Hong Quang, 2021. "Examining ordering effects and strategic behaviour in a discrete choice experiment," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 394-413.
    5. Jeffrey K. Lazo & Ann Bostrom & Rebecca E. Morss & Julie L. Demuth & Heather Lazrus, 2015. "Factors Affecting Hurricane Evacuation Intentions," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1837-1857, October.
    6. Renato Molina & Ivan Rudik, 2022. "The Social Value of Predicting Hurricanes," CESifo Working Paper Series 10049, CESifo.
    7. So-Yeon Park & Seul-Ye Lim & Seung-Hoon Yoo, 2016. "The Economic Value of the National Meteorological Service in the Korean Household Sector: A Contingent Valuation Study," Sustainability, MDPI, vol. 8(9), pages 1-13, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Savage, Scott James & Waldman, Donald M., 2009. "Ability, location and household demand for Internet bandwidth," International Journal of Industrial Organization, Elsevier, vol. 27(2), pages 166-174, March.
    2. Kelvin Balcombe & Michail Bitzios & Iain Fraser & Janet Haddock-Fraser, 2014. "Using Attribute Importance Rankings Within Discrete Choice Experiments: An Application to Valuing Bread Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 446-462, June.
    3. Liu, Ruifeng & ,, 2021. "What We Can Learn from the Interactions of Food Traceable Attributes? a Case Study of Fuji Apple in China," 2021 Conference, August 17-31, 2021, Virtual 315916, International Association of Agricultural Economists.
    4. Printezis, Iryna & Grebitus, Carola, 2018. "Marketing Channels for Local Food," Ecological Economics, Elsevier, vol. 152(C), pages 161-171.
    5. Carlsson, Fredrik & Raun Mørkbak, Morten & Bøye Olsen, Søren, 2010. "The first time is the hardest: A test of ordering effects in choice experiments," Working Papers in Economics 470, University of Gothenburg, Department of Economics.
    6. Adalja, Aaron & Hanson, James & Towe, Charles & Tselepidakis, Elina, 2015. "An Examination of Consumer Willingness to Pay for Local Products," Agricultural and Resource Economics Review, Cambridge University Press, vol. 44(3), pages 253-274, December.
    7. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "A multinomial and rank-ordered logit model with inter- and intra-individual heteroscedasticity," Tinbergen Institute Discussion Papers 20-069/III, Tinbergen Institute.
    8. Ochs, Dan & Wolf, Christopher A. & Widmar, Nicole Olynk & Bir, Courtney & Lai, John, 2019. "Hen housing system information effects on U.S. egg demand," Food Policy, Elsevier, vol. 87(C), pages 1-1.
    9. Mamine, Fateh & Fares, M'hand & Minviel, Jean Joseph, 2020. "Contract Design for Adoption of Agrienvironmental Practices: A Meta-analysis of Discrete Choice Experiments," Ecological Economics, Elsevier, vol. 176(C).
    10. Stephen Pudney, 1988. "Estimating engel curves : a generalisation of the P-Tobit model," Finnish Economic Papers, Finnish Economic Association, vol. 1(2), pages 129-147, Autumn.
    11. Gallardo, R. Karina & Li, Huixin & Yue, Chengyan & Luby, James & McFerson, James R. & McCracken, Vicki, 2015. "Market Intermediaries’ Ratings of Importance for Rosaceous Fruits’ Quality Attributes," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(4), pages 1-34, November.
    12. Xiaoying Liu & Mare Sarr & Timothy Swanson, 2014. "Resistance to the Regulation of Common Resources in Rural Tunisia," CIES Research Paper series 30-2014, Centre for International Environmental Studies, The Graduate Institute.
    13. Aaron M. Shew & Heather A. Snell & Rodolfo M. Nayga & Mary C. Lacity, 2022. "Consumer valuation of blockchain traceability for beef in the United States," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(1), pages 299-323, March.
    14. Krucien, Nicolas & Heidenreich, Sebastian & Gafni, Amiram & Pelletier-Fleury, Nathalie, 2020. "Measuring public preferences in France for potential consequences stemming from re-allocation of healthcare resources," Social Science & Medicine, Elsevier, vol. 246(C).
    15. Mikołaj Czajkowski & Nick Hanley & Jacob LaRiviere, 2016. "Controlling for the Effects of Information in a Public Goods Discrete Choice Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(3), pages 523-544, March.
    16. Kingsley, David C. & Brown, Thomas C., 2013. "Value learning and the willingness to accept–willingness to pay disparity," Economics Letters, Elsevier, vol. 120(3), pages 473-476.
    17. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    18. Kerstin Ruckdeschel & Lenore Sauer & Robert Naderi, 2016. "Reliability of retrospective event histories within the German Generations and Gender Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(11), pages 321-358.
    19. Jeffrey T. Prince & Scott Wallsten, 2022. "How much is privacy worth around the world and across platforms?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(4), pages 841-861, November.
    20. Shijiu Yin & Shanshan Lv & Yusheng Chen & Linhai Wu & Mo Chen & Jiang Yan, 2018. "Consumer preference for infant milk‐based formula with select food safety information attributes: Evidence from a choice experiment in China," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 66(4), pages 557-569, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolet:v:111:y:2011:i:1:p:43-46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.